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Phi 2 Super by abacaj

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  Autotrain compatible   Convai   Conversational   Custom code   En   Endpoints compatible   Model-index   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/abacaj/phi-2-super 

Phi 2 Super Benchmarks

ARC: 61.86 vs 96.7 (so35)-36%
HellaSwag: 76.6 vs 95.3 (gpt4)-19.6%
MMLU: 58.41 vs 88.3 (so35)-33.9%
TruthfulQA: 48.37 vs 59 (gpt4)-18%
WinoGrande: 73.01 vs 87.5 (gpt4)-16.6%
GSM8K: 54.51 vs 96.4 (so35)-43.5%
LLME Score: 0.16673
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Super (abacaj/phi-2-super)
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Phi 2 Super Parameters and Internals

LLM NamePhi 2 Super
Repository 🤗https://huggingface.co/abacaj/phi-2-super 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-09-15
Maintainerabacaj
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.37.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typebfloat16

Quantized Models of the Phi 2 Super

Model
Likes
Downloads
VRAM
Phi 2 Super GGUF5871 GB

Best Alternatives to Phi 2 Super

Best Alternatives
Context / RAM
Downloads
Likes
MFANN3bv0.24128K / 11.1 GB50
MFANN3b128K / 11.1 GB70
MFANN3bv1.4128K / 11.1 GB60
MFANN Phigments Slerp V3.2128K / 5.6 GB50
MFANN3bv1.3128K / 11.1 GB60
MFANN3bv0.23128K / 11.1 GB50
MFANN3bv1.1128K / 11.1 GB70
MFANN3bv1.5128K / 11.1 GB80
MFANN3b Rebase128K / 11.1 GB60
MFANN Liminerity Slerp 4a128K / 5.6 GB50
Note: green Score (e.g. "73.2") means that the model is better than abacaj/phi-2-super.

Rank the Phi 2 Super Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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